Prompt-Engineering - Top 100 Prompt Engineering Interview Questions

Prompt Engineering Fundamentals

1. What is prompt engineering?

2. Why is prompt engineering important in AI?

3. What is the difference between prompt engineering and traditional programming?

4. How does prompt engineering affect model behavior?

5. What makes a prompt "good"?

6. What are the basic components of a prompt?

7. What is context in a prompt?

8. What is the "instruction" in a prompt?

9. How do you measure prompt quality?

10. Why is prompt engineering called "the new programming"?

 Prompt Design Techniques

11. What is zero-shot prompting?

12. What is few-shot prompting?

13. What is one-shot prompting?

14. What is chain-of-thought (CoT) prompting?

15. How does CoT improve reasoning?

16. What is self-consistency prompting?

17. What is role prompting?

18. What is persona-based prompting?

19. What is step-by-step prompting?

20. What is tree-of-thought prompting?

Prompt Structure and Clarity

21. How do you write clear and unambiguous prompts?

22. What is the importance of task decomposition?

23. How do you specify output format in prompts?

24. How do you use examples inside a prompt?

25. How do you handle open-ended questions?

26. What is the role of constraints in prompts?

27. How do you prompt for multiple-choice answers?

28. How do you prompt for bullet-style responses?

29. How do you prompt for JSON output?

30. How do you prompt for code generation?

 Task-Specific Prompting

31. How do you design prompts for summarization?

32. How do you design prompts for translation?

33. How do you design prompts for sentiment analysis?

34. How do you design prompts for classification?

35. How do you design prompts for question-answering?

36. How do you design prompts for creative writing?

37. How do you design prompts for technical documentation?

38. How do you design prompts for email drafting?

39. How do you design prompts for code review?

40. How do you design prompts for data analysis explanation?

 System Prompts and Guardrails

41. What is a system prompt?

42. How is a system prompt different from a user prompt?

43. How do system prompts influence tone and behavior?

44. How do you set ethical guardrails in prompts?

45. How do you prevent hallucinations via prompts?

46. How do you make models "stick to the facts"?

47. How do you handle harmful or edge-case queries?

48. How do you enforce style or brand guidelines?

49. How do you mitigate bias through prompting?

50. How do you align prompts with company policies?

 Advanced Prompt Patterns

51. What is prompt chaining?

52. When should you chain prompts?

53. What is prompt decomposition?

54. How do you use prompts to generate templates?

55. What is meta-prompting?

56. How do you use prompts to generate other prompts?

57. What is few-shot self-improvement?

58. How do you prompt models to critique their own answers?

59. How do you use prompts for iterative refinement?

60. How do you integrate prompts into AI workflows?

Evaluation and Iteration

61. How do you evaluate prompt quality?

62. What metrics are used for prompt evaluation?

63. How do you conduct human evaluation of prompts?

64. How do you A/B test different prompts?

65. How do you measure consistency across runs?

66. How do you handle randomness in model outputs?

67. How do you refine prompts based on feedback?

68. How do you track prompt versions?

69. What is a prompt library or catalog?

70. How do you document prompts for team reuse?

Code and Function-Calling

71. What is function calling in LLMs?

72. How do you write prompts for function calling?

73. How do you specify function parameters?

74. How do you prompt for machine-readable JSON?

75. How do you prompt for SQL generation?

76. How do you prompt for code debugging?

77. How do you prompt for API-style responses?

78. How do you handle multi-step code tasks?

79. How do you prompt for test-case generation?

80. How do you design prompts for automation tools?

 Integration with RAG and Agents

81. How do prompts work in RAG systems?

82. How do you write prompts for retrieval-augmented answers?

83. How do you inject retrieved context into prompts?

84. How do you prompt AI agents to take actions?

85. How do you design prompts for tool-using agents?

86. How do you prompt models to ask follow-up questions?

87. How do you prompt for multi-turn conversations?

88. How do you prompt for task planning?

89. How do you prompt for memory-aware agents?

90. How do you prompt for multi-agent collaboration?